Senior Data Scientist, Habitat Energy
2+ days a week in office
Battery storage and renewable energy optimisers
Open for applications
Battery storage and renewable energy optimisers
21-100 employees
Open for applications
2+ days a week in office
21-100 employees
Company mission
To maximise the potential of renewable energy, drive investments in the energy transition, and accelerate a low-carbon world.
Role
Who you are
- You have at least 3 years of commercial experience developing and productionising real-time projects in Machine Learning and Data Science
- Experience with short term US power markets
- Experience building algorithmic decision tools (e.g. mixed-integer linear programming, CVXPY)
- You have experience bringing your creative output to support development of quarterly product roadmaps
- You are fluent in Python and its wider numerical ecosystem (Pandas, NumPy, Scikit-learn, Polars, etc.)
- You have a BA/BSc degree in Computer Science, Machine Learning, Electrical Engineering, or related technical field
- Version control code (Git) including dev, test and production environments
Desirable
- Experience trading virtual and/or asset-backed positions in one or more major US Power Market (ideally ERCOT)
- Electricity & energy domain modelling (e.g. power systems modeling, power flow, security constrained unit commitment etc.)
- Full-stack / machine learning engineering / data engineering experience
- Experience with forecasting & time series problems
- Experience with data visualization and dashboarding technologies (e.g. plot.ly, Dash, Streamlit)
- Demonstrated track record of academic paper (NeurIPS, ICLR, ICML; and/or papers on power systems, optimization or other related topics)
- AWS, terraform, continuous integration, monitoring and alerting
- MS or PhD degree in Computer Science, Machine Learning, or related technical field
What the job involves
- We have a vacancy for a Data Scientist to join our Austin team based in Texas
- This role will drive the development and implementation of advanced optimization and forecasting models, focusing on trading (DART), storage (BESS), portfolio, and congestion management across US power markets
- Create and maintain models for price forecasting, scenario analysis, and decision support, including machine learning models for energy market predictions and real-time forecasting
- Develop and maintain optimization models for energy storage and solar + storage systems, maximizing portfolio performance and integrating market dynamics across ISOs
- Build models to forecast and mitigate congestion risks, optimizing bidding strategies and asset dispatch in constrained markets
- Develop tools to backtest asset performance, collaborate with teams to prepare client materials, and provide insights for strategic initiatives
- Work with Software Engineering and DevOps teams to deploy scalable, robust forecasting and optimization models
- Use experimental approaches to enhance modeling techniques for forecasting, decision-making, congestion management, and portfolio optimization
Our take
With the world moving onto more sustainable energy, countries across the globe are aiming to harness the power of green energy alternatives. While sustainable energy production is on the rise, technology and finance need to work in tandem so that solutions are profitable and scalable.
Habitat Energy is combining the latest techniques in machine learning and artificial intelligence to provide customers with battery storage and renewable energy assets that deliver the best possible returns.
Following recent funding and partnerships, the company has invested capital into increasing its overseas portfolio and in the US market, expanding its product offerings into renewable and hybrid facilities. Already a market leader in the UK, this expansion will further bolster the company's name internationally and create substantial revenue, boding well for the coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
54% employee growth in 12 months
Company
Funding (2 rounds)
Jun 2020
$0.3m
GRANT
Apr 2019
$1.7m
GRANT
Total funding: $2m
Company HQ
City Centre, Oxford, UK
Articles
Leadership
Andrew Luers
(CEO & Co-Founder)Graduated from the University of Oxford with a Doctor of Philosophy in Physics. Also the Co-Founder of ProviderTrust.
Phil Robinson
(Co-Founder)Worked in large multinational companies including EDF Energy and E.ON, providing value-adding analysis and advice to board members and investors.
Ben Irons
(Co-Founder)Previously an Executive Director and Board Member at Aurora Energy Research, Consulting Manager at McKinsey and Company and Strategy Director at Centrica Energy.
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